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PFMP · Question #643

Programs and projects in your company, one of the largest banks in the world, are required to submit metrics as to their individual progress each month. To simplify the collection and reporting…

The correct answer is B. Quantitative metrics are preferable. When designing a portfolio metrics system, quantitative metrics are preferable because they produce objective, numerical data that can be consistently measured, tracked over time, and compared across programs and projects. Qualitative data is subjective and harder to aggregate…

Question

Programs and projects in your company, one of the largest banks in the world, are required to submit metrics as to their individual progress each month. To simplify the collection and reporting process, you held interviews with members of the Portfolio Review Board to see their areas of greatest interest and also with program and project managers to determine how difficult it would be to collect the dat

Options

  • AYou then selected 10 possible metrics to the Board, with a goal that five would be regularly
  • BQuantitative metrics are preferable
  • CThe value is realized when components are used
  • DCustomer satisfaction is the most important goal
  • EIf components have interdependencies with other components, their metrics should be reported

How the community answered

(22 responses)
  • A
    9% (2)
  • B
    73% (16)
  • D
    5% (1)
  • E
    14% (3)

Explanation

When designing a portfolio metrics system, quantitative metrics are preferable because they produce objective, numerical data that can be consistently measured, tracked over time, and compared across programs and projects. Qualitative data is subjective and harder to aggregate at the portfolio level. The scenario describes a deliberate effort to simplify collection and reporting, and quantitative metrics best support that goal. The other options-presenting only five metrics to the Board (A), value realization timing (C), customer satisfaction priority (D), and interdependency reporting (E)-are not the foundational principle that justifies the metrics design approach described.

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